Job Description
Shape 2026's AI Revolution
Join NeuroSynth Labs to architect the future of artificial intelligence. We're seeking visionary AI/ML Engineers to pioneer breakthrough systems that will redefine industries by 2026. Work alongside Nobel-caliber researchers in a hyper-innovative environment where your algorithms power autonomous systems, predictive healthcare platforms, and next-gen neural interfaces.
We offer equity, unlimited PTO, and a $20k annual learning stipend. Our San Francisco hub features biometric workstations and direct access to quantum computing resources. Join us to build what others only imagine.
Responsibilities
- Design production-grade ML pipelines for real-time AI systems deployed in 2026-era infrastructure
- Develop novel neural architectures for multimodal data fusion across edge-to-cloud environments
- Lead ethical AI framework implementation ensuring compliance with 2026 global AI governance standards
- Collaborate with quantum computing teams to hybridize classical/quantum ML models
- Architect self-optimizing systems with autonomous learning capabilities
- Pioneer human-AI interfaces using advanced neuromorphic computing principles
- Drive patent filings for 2026-relevant AI breakthroughs
Qualifications
- PhD in ML/AI or equivalent with 5+ years building production systems for 2026-scale applications
- Expertise in transformers, diffusion models, and quantum-ML hybridization
- Published research in NeurIPS/ICML with citations >1,000
- Proficiency in PyTorch 3.0+, TensorFlow Quantum, and neuromorphic SDKs
- Experience deploying models at edge-quantum convergence points
- Deep understanding of 2026-era regulatory frameworks (EU AI Act, US SAFE Act)
- Portfolio demonstrating systems solving 10^9+ parameter optimization challenges